What you're saying that if we only have 3 failure domains then ceph can do 
nothing to maintain 3 copies in case of an entire failure domain is lost, that 
is correct.
BUT if you're losing 2 replicas out of 3 of your data, and your min size is set 
to 2 (the recommended minimum) then you have an even bigger problem. The 
cluster will not serve the IO operations anymore. I know you can set the min 
size to 1 for recovery, but in my opinion that is still worse than have the 
cluster running without human intervention, but this could be a matter of taste 
:).

Kind regards,
Laszlo


On 02.06.2017 16:48, David Turner wrote:
You wouldn't be able to guarantee that the cluster will not use 2 servers from 
the same rack. The problem with 3 failure domains, however, is if you lose a 
full failure domain ceph can do nothing to maintain 3 copies of your data. It 
leaves you in a position where you need to rush to the datacenter to fix the 
hardware problems ASAP.

On Fri, Jun 2, 2017, 5:14 AM Laszlo Budai <las...@componentsoft.eu 
<mailto:las...@componentsoft.eu>> wrote:

    Hi David,

    If I understand correctly your suggestion is the following:
    If we have for instance 12 servers grouped into 3 racks (4/rack) then you 
would build a crush map saying that you have 6 racks (virtual ones), and 2 
servers in each of them, right?

    In this case if we are setting the failure domain to rack and the size of a 
pool to 3, how do you make sure that the crush map will not use 2 servers from 
the same physical rack for a PG? Could you provide an example of distribution 
of servers to virtual racks?

    Thank you,
    Laszlo


    On 01.06.2017 22:23, David Turner wrote:
     > The way to do this is to download your crush map, modify it manually 
after decompiling it to text format or modify it using the crushtool.  Once you 
have your crush map with the rules in place that you want, you will upload the 
crush map to the cluster.  When you change your failure domain from host to rack, 
or any other change to failure domain, it will cause all of your PGs to peer at 
the same time.  You want to make sure that you have enough memory to handle this 
scenario.  After that point, your cluster will just backfill the PGs from where 
they currently are to their new location and then clean up after itself.  It is 
recommended to monitor your cluster usage and modify osd_max_backfills during this 
process to optimize how fast you can finish your backfilling while keeping your 
cluster usable by the clients.
     >
     > I generally recommend starting a cluster with at least n+2 failure domains so 
would recommend against going to a rack failure domain with only 3 racks.  As an alternative 
that I've done, I've set up 6 "racks" when I only have 3 racks with planned growth 
to a full 6 racks.  When I added servers and expanded to fill more racks, I moved the 
servers to where they are represented in the crush map.  So if it's physically in rack1 but 
it's set as rack4 in the crush map, then I would move those servers to the physical rack 4 
and start filling out rack 1 and rack 4 to complete their capacity, then do the same for 
rack 2/5 when I start into the 5th rack.
     >
     > Another option to having full racks in your crush map is having half 
racks.  I've also done this for clusters that wouldn't grow larger than 3 racks.  
Have 6 failure domains at half racks.  It lowers your chance of having random 
drives fail in different failure domains at the same time and gives you more 
servers that you can run maintenance on at a time over using a host failure 
domain.  It doesn't resolve the issue of using a single cross-link for the entire 
rack or a full power failure of the rack, but it's closer.
     >
     > The problem with having 3 failure domains with replica 3 is that if you 
lose a complete failure domain, then you have nowhere for the 3rd replica to go.  
If you have 4 failure domains with replica 3 and you lose an entire failure 
domain, then you over fill the remaining 3 failure domains and can only really use 
55% of your cluster capacity.  If you have 5 failure domains, then you start 
normalizing and losing a failure domain doesn't impact as severely.  The more 
failure domains you get to, the less it affects you when you lose one.
     >
     > Let's do another scenario with 3 failure domains and replica size 3.  Every 
OSD you lose inside of a failure domain gets backfilled directly onto the remaining 
OSDs in that failure domain.  There reaches a point where a switch failure in a rack 
or losing a node in the rack could over-fill the remaining OSDs in that rack.  If you 
have enough servers and OSDs in the rack, then this becomes moot.... but if you have 
a smaller cluster with only 3 nodes and <4 drives in each... if you lose a drive 
in one of your nodes, then all of it's data gets distributed to the other 3 drives in 
that node.  That means you either have to replace your storage ASAP when it fails or 
never fill your cluster up more than 55% if you want to be able to automatically 
recover from a drive failure.
     >
     > tl;dr . Make sure you calculate what your failure domain, replica size, 
drive size, etc means for how fast you have to replace storage when it fails and 
how full you can fill your cluster to afford a hardware loss.
     >
     > On Thu, Jun 1, 2017 at 12:40 PM Deepak Naidu <dna...@nvidia.com 
<mailto:dna...@nvidia.com> <mailto:dna...@nvidia.com <mailto:dna...@nvidia.com>>> 
wrote:
     >
     >     Greetings Folks.____
     >
     >     __ __
     >
     >     Wanted to understand how ceph works when we start with rack 
aware(rack level replica) example 3 racks and 3 replica in crushmap in future is 
replaced by node aware(node level replica) ie 3 replica spread across nodes.____
     >
     >     __ __
     >
     >     This can be vice-versa. If this happens. How does ceph rearrange the 
“old” data. Do I need to trigger any command to ensure the data placement is based 
on latest crushmap algorithm or ceph takes care of it automatically.____
     >
     >     __ __
     >
     >     Thanks for your time.____
     >
     >     __ __
     >
     >     --____
     >
     >     Deepak____
     >
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